Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill
Gerd Gigerenzer's technique of frequency representations for solving the medical diagnosis problem, mammography problem, and other Bayesian reasoning problems is summarized in this paper. Such a method has been introduced to community college students in an elementary statistics course. With re...
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Format: | Article |
Language: | English |
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National Numeracy Network
2015-07-01
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Series: | Numeracy |
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Online Access: | http://scholarcommons.usf.edu/numeracy/vol8/iss2/art7/ |
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author | Frank Wang |
author_facet | Frank Wang |
author_sort | Frank Wang |
collection | DOAJ |
description | Gerd Gigerenzer's technique of frequency representations for solving the medical diagnosis problem, mammography problem, and other Bayesian reasoning problems is summarized in this paper. Such a method has been introduced to community college students in an elementary statistics course. With repeated practice, many community college students can acquire the skill and avoid reported judgment errors that are commonly committed by medical professionals. However, weaknesses in basic skills such as percentage calculations prevent some students from obtaining the correct probability. |
first_indexed | 2024-04-12T23:35:00Z |
format | Article |
id | doaj.art-678e163a30294275aced8e31486eeb04 |
institution | Directory Open Access Journal |
issn | 1936-4660 1936-4660 |
language | English |
last_indexed | 2024-04-12T23:35:00Z |
publishDate | 2015-07-01 |
publisher | National Numeracy Network |
record_format | Article |
series | Numeracy |
spelling | doaj.art-678e163a30294275aced8e31486eeb042022-12-22T03:12:10ZengNational Numeracy NetworkNumeracy1936-46601936-46602015-07-01827http://dx.doi.org/10.5038/1936-4660.8.2.7Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning SkillFrank Wang0LaGuardia Community College, CUNYGerd Gigerenzer's technique of frequency representations for solving the medical diagnosis problem, mammography problem, and other Bayesian reasoning problems is summarized in this paper. Such a method has been introduced to community college students in an elementary statistics course. With repeated practice, many community college students can acquire the skill and avoid reported judgment errors that are commonly committed by medical professionals. However, weaknesses in basic skills such as percentage calculations prevent some students from obtaining the correct probability.http://scholarcommons.usf.edu/numeracy/vol8/iss2/art7/cognitive illusionBayesian reasoningmedical diagnosis problemmammography problem |
spellingShingle | Frank Wang Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill Numeracy cognitive illusion Bayesian reasoning medical diagnosis problem mammography problem |
title | Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill |
title_full | Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill |
title_fullStr | Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill |
title_full_unstemmed | Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill |
title_short | Numeracy Infusion Course for Higher Education (NICHE), 2: Development of Students' Bayesian Reasoning Skill |
title_sort | numeracy infusion course for higher education niche 2 development of students bayesian reasoning skill |
topic | cognitive illusion Bayesian reasoning medical diagnosis problem mammography problem |
url | http://scholarcommons.usf.edu/numeracy/vol8/iss2/art7/ |
work_keys_str_mv | AT frankwang numeracyinfusioncourseforhighereducationniche2developmentofstudentsbayesianreasoningskill |